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The First Voice Timbre Attribute Detection Challenge
Liping Chen, Jinghao He, Zhengyan Sheng +2
The first voice timbre attribute detection challenge is featured in a special session at NCMMSC 2025. It focuses on the explainability of voice timbre and compares the intensity of…
Introducing voice timbre attribute detection
Jinghao He, Zhengyan Sheng, Liping Chen +2
This paper focuses on explaining the timbre conveyed by speech signals and introduces a task termed voice timbre attribute detection (vTAD). In this task, voice timbre is explained…
The Voice Timbre Attribute Detection 2025 Challenge Evaluation Plan
Zhengyan Sheng, Jinghao He, Liping Chen +2
Voice timbre refers to the unique quality or character of a person's voice that distinguishes it from others as perceived by human hearing. The Voice Timbre Attribute Detection (Vt…
On the Generation and Removal of Speaker Adversarial Perturbation for Voice-Privacy Protection
Chenyang Guo, Liping Chen, Zhuhai Li +3
Neural networks are commonly known to be vulnerable to adversarial attacks mounted through subtle perturbation on the input data. Recent development in voice-privacy protection has…
Asynchronous Voice Anonymization Using Adversarial Perturbation On Speaker Embedding
Rui Wang, Liping Chen, Kong AiK Lee +1
Voice anonymization has been developed as a technique for preserving privacy by replacing the speaker's voice in a speech signal with that of a pseudo-speaker, thereby obscuring th…